论文阅读 Batch DropBlock Network for Person Re-identification and Beyond
Batch DropBlock Network for Person Re-identification and Beyond 摘要 重识别问题的难点主要在于姿态的多变，随机遮挡等会降低模型的精度，本文提出了一个BDB的网络，主要有两个分支，一个是主分支是resnet50网络，另一个是drop分支。Drop分支主要是为了抽取局部关注点信息，随机的去除batch中输入feature ma
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相关文章
- 1. Batch DropBlock Network for Person Re-identification and Beyond论文阅读
- 2. 【ReID】Batch DropBlock Network for Person Re-identification and Beyond
- 3. Batch DropBlock Network for Person Re-identification and Beyond
- 4. 【论文阅读】Batch Feature Erasing for Person Re-identification and Beyond
- 5. Batch Drop Block Network for Person Re-identification and Beyond
- 6. 【论文阅读】Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond
- 7. 1705.IAN- The Individual Aggregation Network for Person Search 论文阅读笔记
- 8. 1604.Joint Detection and Identification Feature Learning for Person Search论文阅读笔记
- 9. 【论文阅读】Salience-Guided Cascaded Suppression Network for Person Re-identification
- 10. 【论文阅读】Learning Deconvolution Network for Semantic Segmentation